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Stochastic Methods

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Papers

Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
New Bounds on Compressive Linear Least Squares Regression AISTATS 2014
Towards building a Crowd-Sourced Sky Map AISTATS 2014
Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014
Dynamic Resource Allocation for Optimizing Population Diffusion AISTATS 2014
Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014
Learning without concentration COLT 2014
Community Detection via Random and Adaptive Sampling COLT 2014
A second-order bound with excess losses COLT 2014
Higher-Order Regret Bounds with Switching Costs COLT 2014
Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction CVPR 2014
Random Laplace Feature Maps for Semigroup Kernels on Histograms CVPR 2014
Realtime and Robust Hand Tracking from Depth CVPR 2014
Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking CVPR 2014
3D Shape and Indirect Appearance by Structured Light Transport CVPR 2014
Evolutionary Quasi-random Search for Hand Articulations Tracking CVPR 2014
Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014
Fast Stochastic Alternating Direction Method of Multipliers ICML 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014
A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014